zvelo is the provider of the most advanced URL Database for Web Categorization and Malicious Detection—designed for OEMs, device manufacturer’s, and Network Security vendors. zvelo’s content categorization engines power web filtering and parental controls, whitelists and blacklists for anti-virus companies, home network protection devices, and much more. By categorizing content into topic-based, objectionable, and malicious category groupings—zveloDB provides the most advanced malicious detection for advanced threat intelligence and cybersecurity.

zvelo’s URL Database and Categories Expanded to Include Terrorism, Fake News, Cryptocurrency, Cryptocurrency Mining, and More

zvelo, the leading provider of categorization and malicious detection data services for web content, traffic, and connected devices, today announced significant and timely category additions to its comprehensive URL categorization database. zveloDB now offers OEM partners, network security vendors, and brands new and enhanced support for several emerging categories, including terrorism, cryptocurrency, blockchain, fake news, new malicious threat categories, and new objectionable categories.

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Securely Logging & Tracing HTTP Requests in Go | zvelo

Securely Logging & Tracing HTTP Requests in Go

I was recently debugging a nasty issue in one of our backend services and needed to view the exact HTTP request & response being sent to an authentication server. Fortunately, Go’s standard library provides http.RoundTripper, httputil.DumpRequestOut & httputil.DumpResponse, which are great for dumping the exact out-bound request & the response. But since an authentication request contains credentials and a response contains a security token, it would have been insecure to record credentials & tokens in our logging systems. How could I securely exfiltrate the information I needed, while maintaining security and not requiring a whole lot of changes to my codebase or deployment environment?

EU increases pressure on terrorism content online

EU Increases Pressure to Combat Terrorism Content Online

Last week, we announced that we will be extending zveloDB™ URL categorization support to include eight (8) new categories. The new categories represent a number of emergent topics and threats including Cryptocurrency, Cryptocurrency Mining, Fake News, Terrorism, and more. These topics have a significant—and growing—presence online and we’re excited about how these new categories will empower our OEM partners to provide a safer and more usable internet for their customers.

Why AI is a Valuable Technology for Detecting Fake News by Objectively Categorizing Online News Articles

Jeff Finn, CEO of zvelo, explains why AI is a valuable technology for combating the “fake news” epidemic through its ability to quickly and objectively categorize online news articles based on how likely they are to present information accurately. *****The following article, by Jeff Finn, appears as a content marketing article on MarTech Advisor’s web site and was…

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